TY - GEN
T1 - Enhancing System Security via Out-of-Market Correction Procedures
AU - Singhal, Nikita G.
AU - Li, Nan
AU - Hedman, Kory
N1 - Funding Information:
This work is supported by the Consortium for Electric Reliability Technology Solutions (CERTS) with the US Department of Energy (DOE) and the Advanced Research Projects Agency-Energy (ARPA-E) with the US DOE.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/21
Y1 - 2018/12/21
N2 - Electric power grid is one of the most complex engineered systems in the 21 st century. Several challenges, including unexpected system element failure and resource uncertainty, exist for an efficient and reliable operation of a power system. While algorithmic performance and computation hardware have advanced significantly, model approximations and simplifications are still used in commitment and dispatch models. Operators must, therefore, seek to adjust and correct unreliable solutions outside of the market engine. Such operator-initiated actions are referred to as out-of-market corrections (OMC) in this paper. Two OMC models are proposed to mimic and optimize the process that operators take to adjust unreliable solutions. The OMC models estimate the operating costs incurred to move an unreliable solution to a reliable one. The proposed models are used to evaluate the reliability of the system and are compared with the traditional value-of-lost-load approach. The case study is conducted using the IEEE 118-bus system.
AB - Electric power grid is one of the most complex engineered systems in the 21 st century. Several challenges, including unexpected system element failure and resource uncertainty, exist for an efficient and reliable operation of a power system. While algorithmic performance and computation hardware have advanced significantly, model approximations and simplifications are still used in commitment and dispatch models. Operators must, therefore, seek to adjust and correct unreliable solutions outside of the market engine. Such operator-initiated actions are referred to as out-of-market corrections (OMC) in this paper. Two OMC models are proposed to mimic and optimize the process that operators take to adjust unreliable solutions. The OMC models estimate the operating costs incurred to move an unreliable solution to a reliable one. The proposed models are used to evaluate the reliability of the system and are compared with the traditional value-of-lost-load approach. The case study is conducted using the IEEE 118-bus system.
KW - Out-of-market corrections
KW - Power generation scheduling
KW - Power system reliability
KW - Unit commitment
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U2 - 10.1109/PESGM.2018.8586016
DO - 10.1109/PESGM.2018.8586016
M3 - Conference contribution
AN - SCOPUS:85060829084
T3 - IEEE Power and Energy Society General Meeting
BT - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
PB - IEEE Computer Society
T2 - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Y2 - 5 August 2018 through 10 August 2018
ER -